Technical Recruiter
Hace 1 semana
México, México
Hired
Jornada completa
Gratis con email o Google
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Role: Technical Recruiter (Remote)
Location:
Remote (Work from Anywhere) This role focuses on developing and refining an AI-powered recruitment tool named Zara to automate candidate sourcing, screening, and engagement processes. Develop and maintain backend infrastructure supporting natural language processing for resume parsing and
job description
analysis. Integrate Zara with applicant tracking systems, HR databases, and third-party job platforms via APIs. Collaborate with data scientists and product teams to refine AI training datasets and evaluate model performance metrics. Ensure compliance with privacy regulations and ethical AI standards in recruitment workflows. Proficiency in Python, including experience with machine learning frameworks like TensorFlow or PyTorch. Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization tools like Docker. Knowledge of SQL and NoSQL databases for data extraction and integration. Understanding of ethical AI principles and bias mitigation techniques in recruitment systems. Background in data pipeline development and ETL processes. The position contributes to reducing hiring bias and improving talent acquisition efficiency through technology. All qualified candidates are welcome regardless of background, experience, or prior employment history.
Location:
Remote (Work from Anywhere) This role focuses on developing and refining an AI-powered recruitment tool named Zara to automate candidate sourcing, screening, and engagement processes. Develop and maintain backend infrastructure supporting natural language processing for resume parsing and
job description
analysis. Integrate Zara with applicant tracking systems, HR databases, and third-party job platforms via APIs. Collaborate with data scientists and product teams to refine AI training datasets and evaluate model performance metrics. Ensure compliance with privacy regulations and ethical AI standards in recruitment workflows. Proficiency in Python, including experience with machine learning frameworks like TensorFlow or PyTorch. Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization tools like Docker. Knowledge of SQL and NoSQL databases for data extraction and integration. Understanding of ethical AI principles and bias mitigation techniques in recruitment systems. Background in data pipeline development and ETL processes. The position contributes to reducing hiring bias and improving talent acquisition efficiency through technology. All qualified candidates are welcome regardless of background, experience, or prior employment history.